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Vincent KaufmannView profile

Associate Professor

• Mobility Studies
• Urban Sociology
• Transport Planning
• +6 more

Vincent Kaufmann is an Associate Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) , leading the Urban Sociology Laboratory (LaSUR) . Since 2010, he serves as Scientific Director of the Mobile Lives Forum in Paris. His career spans teaching at institutions like Lancaster University , Ecole des Ponts ParisTech , and Tongji University , with research focusing on mobility sociology , urban dynamics , and public policy evaluation . Master's in Sociology from University of Geneva PhD at EPFL on transport modal practices His work explores mobility-capital interactions , motility , and rhythmanalysis in contemporary societies. Key themes include urban lifestyle transformations , cross-border regions , and mobility-sustainability nexus , with recent emphasis on new proximities and slow cities . Teaching roles span EPFL departments like Teaching (EDAR) , Architecture and Urban Sciences (SGC) , and Human and Social Sciences (CDH) . He has directed numerous PhD and master's theses on urban mobility topics.

Amy R. WuView profile

Associate Professor

• Human-Robot Interaction
• Human Biomechanics
• Locomotion
• +4 more

Amy R. Wu serves as Associate Professor in Mechanical and Materials Engineering at Queen's University and holds the Mitchell Professorship in Bio-inspired Robotics. She leads the Biomechanics x Robotics Laboratory (BxRL) and contributes to the Ingenuity Labs Research Institute. Her academic credentials include: Ph.D. in Mechanical Engineering, University of Michigan Postdoctoral Research, Biorobotics Laboratory, EPFL, Switzerland Dr. Wu's research bridges biomechanics and robotics to enhance legged mobility through innovations in human-robot interaction , exoskeleton design , and gait assistance . Her work focuses on developing robotic systems that adapt to human movement patterns, particularly for spinal cord injury rehabilitation and stability augmentation during walking. Analysis of her 2019-2023 publications reveals consistent advancement in exoskeleton control algorithms, gait stability metrics, and human adaptation studies. Key trends include modular exoskeleton systems (Symbitron), neuromuscular controllers for ankle assistance, and haptic feedback integration for motor learning enhancement. No scientific awards are documented in the provided materials. Dr. Wu mentors graduate students through BxRL, where her team conducts human subject testing and robotic development. Research is supported by institutional resources at Ingenuity Labs, though specific grant details remain unspecified. The Biomechanics x Robotics Laboratory operates within Queen's Ingenuity Labs Research Institute, facilitating interdisciplinary collaboration on projects like outdoor stability assessment, winter walking adaptations, and teleoperation interfaces for drone control.

Michael C.L. CHAUView profile

Professor

• Business Analytics
• Artificial Intelligence
• Web Mining and Social Media
• +8 more

Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.

Wenyao XuView profile

Professor

• Embedded Systems
• Cyber-Physical Systems
• Body Sensor Networks
• +3 more

Wenyao Xu is a Professor and Associate Department Chair in the Department of Computer Science and Engineering at the University at Buffalo, School of Engineering and Applied Sciences. His research focuses on embedded systems, body sensor networks, biomedical signal analytics, telemedicine, and human-computer interaction. He leads the Embedded Sensing and Computing (ESC) Lab, pioneering innovations in wearable health monitoring and non-invasive medical technologies. Dr. Xu holds a PhD in Electrical and Electronics Engineering from UCLA (2013), an MEng in Embedded Systems from Zhejiang University (2008), and a BEng in Electrical Engineering from Zhejiang University (2006). He has received multiple accolades, including the UB Exceptional Scholar—Sustained Achievement Award (2021) and SEAS Senior Career Researcher of the Year (2020). His research spans cutting-edge areas like mmWave-based sensing for health monitoring, mHealth applications for behavioral interventions (e.g., Sense2Quit app for smoking cessation), and wearable devices for gait analysis and vital sign detection. Recent work includes advancements in through-clothing wound monitoring, voice- and gesture-based authentication systems, and AI-enhanced medical imaging. Publications reflect his interdisciplinary impact, with over 150 peer-reviewed papers in top venues. His lab collaborates closely with clinical partners to translate technologies into practical healthcare solutions. Dr. Xu also emphasizes mentorship, having been honored with the President Emeritus and Mrs. Meyerson Award for teaching excellence (2020).

Roberta SinatraView profile

Professor

• Computational Social Science
• Network Science
• Data Science
• +3 more

Roberta Sinatra is a Professor in Social Data Science at the University of Copenhagen, with part-time affiliations at ITU Copenhagen, ISI Foundation (Italy), and CSH (Austria). She co-founded the NERDS Research Group at ITU and co-leads the Pioneer Centre for AI in Copenhagen. Research Interests: Her work spans computational social science, network science, and data science, focusing on fairness in AI, scientific careers, and human mobility. Recent projects include analyzing child protection algorithms and modeling urban bicycle networks. Scientific Awards: ERC Consolidator Grant Villum Young Investigator Grant Complex Systems Society Junior Prize DPG Young Scientist Award for Socio- and Econophysics Sapere Aude: Starting Grant Publications: Her research, often in top-tier venues like Nature and Science , explores interdisciplinary themes, including AI ethics, gender disparities in science, and social network dynamics. Labs & Teams: She leads research initiatives at the Center for Social Data Science (KU) and co-founded the NERDS Research Group at ITU, fostering international collaboration in network science and AI ethics.

Jillianne CodeView profile

Associate Professor

• Learner agency
• Educational technologies
• Technology-enhanced learning
• +9 more

Dr. Jillianne Code is an Associate Professor at the University of British Columbia's Faculty of Education, Department of Curriculum & Pedagogy, directing the ALIVE Research Lab. Her work focuses on learner agency, educational technologies, and social media's impact on student success. Specializes in immersive virtual environments for assessment Researches self-regulated learning and formative feedback Investigates health education through digital interventions Her recent publications examine pandemic-era educational transitions, digital literacy in teacher training, and cognitive tools in virtual reality. She has received Outstanding Paper Awards for her work on immersive assessment. Dr. Code leads research projects on learning analytics, student engagement in digital spaces, and technology education sustainability. Her work bridges educational theory with practical interventions through digital badges, mobile health applications, and 3D learning environments.

Yasamin MostofiView profile

Professor

• Wireless Systems
• Robotics
• Control Systems
• +10 more

Professor Yasamin Mostofi is a faculty member in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. She is also affiliated with the Department of Computer Science and the Center for Control, Dynamical Systems and Computation. Her work bridges wireless systems, robotics, and machine learning. PhD, Stanford University MS, Stanford University MS, Sharif University of Technology Research Interests : Her lab focuses on wireless systems and autonomous agents , developing novel mathematical models for RF sensing and communication-aware robotics. Current directions include WiFi/millimeter wave/6G-based imaging and analytics, networked robotics for cellular systems, human-robot collaboration, and machine learning integration. Recent Publications : Her work spans through-wall crowd analytics , robot-assisted connectivity , and vision-aided wireless sensing , with applications in smart health, security, and retail optimization. Key trends include cross-modal integration (WiFi and vision), synthetic data generation, and real-world clinical validation. Scientific Recognition : Presidential Early Career Award for Scientists and Engineers (PECASE) Antonio Ruberti Prize, IEEE Control Systems Society NSF CAREER Award IEEE Region 6 Outstanding Engineer Award IEEE Fellow (2020) Advising and Leadership : She mentors PhD students in systems research, with graduates joining leading companies like Qualcomm and Google. She co-founded NPJ Wireless Technology (Nature Portfolio) and serves on editorial boards including IEEE Transactions on Control of Network Systems .

Linda ArgoteView profile

Professor

• Organizational Learning
• Innovation
• Knowledge Transfer
• +4 more

Linda Argote is the Thomas Lord Professor of Organizational Behavior and Theory at the Tepper School of Business, Carnegie Mellon University. She serves as Director of the Center for Organizational Learning, Innovation, and Knowledge. Her academic journey includes prior roles such as David M. Kirr Professor and Carnegie Bosch Professor. She holds a Ph.D. in Organizational Psychology from the University of Michigan and a B.S. in Psychology from Tulane University. Her research focuses on organizational learning, innovation, knowledge transfer, and group processes, with notable contributions to transactive memory systems and team performance. Argote has received prestigious awards like the Joseph E. McGrath Award and an Honorary Doctorate. She actively contributes to academic leadership through roles in editorial boards, grant reviews, and university committees. Her teaching includes courses on organizational learning and strategic management.

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +3 more

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

• Cyber Law
• Artificial Intelligence and Law
• Business Law
• +7 more

Zaklina Spalevic is a distinguished Professor at Singidunum University, specializing in the intersection of law, technology, and business. With a strong academic background in criminal law and extensive research in cyber law, artificial intelligence applications in legal systems, and tourism law, she has established herself as a leading scholar in digital legal frameworks. Her work spans multiple disciplines, connecting traditional legal principles with emerging technological challenges. Dr. Spalevic earned her doctoral degree in Criminal Law from the University of the Academy of Economics in Novi Sad (2008-2012), following basic studies in General Law at the University of Pristina (1996-2001). Her educational foundation in Science and Mathematics from First Pristina High School (1992-1996) provided the analytical basis for her interdisciplinary approach to legal scholarship. Her research interests focus on the evolving landscape of cyber law, particularly the legal implications of artificial intelligence in judicial systems, electronic governance, and tourism industry regulation. Dr. Spalevic has pioneered work on digital evidence processing, algorithmic justice, and the integration of green law principles into sustainable business practices. Her publications reveal a consistent pattern of addressing emerging legal challenges in the digital age, with increasing emphasis on AI applications across various legal domains. Analysis of her recent publications shows a clear trend toward interdisciplinary research that bridges law, technology, and business. Her work increasingly focuses on practical applications of legal frameworks for emerging technologies, particularly in tourism, agriculture, and judicial systems. The integration of technical solutions with legal regulation represents a distinctive feature of her scholarly contributions. Dr. Spalevic has authored numerous publications including three books: 'Fundamentals of Law with Special Reference to Business and Tourism Law' (2021, 2024 editions) and 'Legal Aspects of Cyberspace' (2018). Her extensive publication record includes over 100 journal articles and conference papers spanning cyber security, electronic governance, intellectual property in digital environments, and legal frameworks for emerging technologies. She actively contributes to academic discourse through conference presentations and collaborative research projects, particularly focusing on the legal implications of artificial intelligence across various sectors. Her work demonstrates a commitment to developing practical legal frameworks that address real-world technological challenges while maintaining foundational legal principles.

Mohsen KalantariView profile

Associate Professor

• Geospatial Engineering
• Construction Engineering
• Building Information Modelling (BIM)
• +7 more

Associate Professor Mohsen Kalantari is a Geospatial Engineering academic at the University of New South Wales (UNSW) School of Civil and Environmental Engineering , with concurrent roles as co-founder of the startup Faramoon . His career spans roles at the University of Melbourne's Department of Infrastructure Engineering and Victorian government's land administration initiatives through DELWP. Education : PhD in Geomatics Engineering (2008, University of Melbourne), Master of GIS Engineering (2004), Bachelor of Surveying Engineering (2001) His research bridges geospatial engineering with construction automation , focusing on 3D cadastre , BIM-GIS integration , and smart cities . Recent publications show trends in underground land administration , digital twins , and LADM standard implementations . Scientific Awards : National educational recognition (2019), Victorian educational grants (2018), and prestigious fellowships (2012) As a supervisor , he guides PhD candidates in topics ranging from BIM for waste management to underground cadastral systems . His industry engagement includes partnerships with the United Nations , Open Geospatial Consortium , and Singapore Land Authority .

John F. CannyView profile

Professor

• Artificial Intelligence
• Robotics
• Human-Computer Interaction
• +5 more

John F. Canny is the Paul and Stacy Jacobs Distinguished Professor of Engineering at the University of California, Berkeley, in the Department of Electrical Engineering and Computer Science (EECS). He joined the faculty in 1987 and is affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for New Media (BCNM), and other research institutes. His research focuses on artificial intelligence, robotics, human-computer interaction, and computational geometry. Canny is renowned for developing the Canny edge detector and contributions to motion planning, privacy-preserving algorithms, and real-time simulation. Education: B.Sc. in Computer Science and Theoretical Physics (Adelaide University, 1979), B.E. (Hons) in Electrical Engineering (Adelaide University, 1980), M.S. and Ph.D. in Electrical Engineering (MIT, 1983 and 1987). Research Interests: His work spans AI, robotics (including universal planar manipulation), HCI (e.g., MultiView video conferencing), and security (privacy in collaborative filtering). He has pioneered algorithms for edge detection, non-linear FEM simulation, and computational algebra. Awards: ACM Fellow (2020), Okawa Research Grant (2003), AAAI Classic Paper Award (2002), NSF PYI (1989), Packard Fellowship (1988), and ACM Doctoral Dissertation Award (1987). Advising & Grants: Advised over 30 Ph.D. students, many of whom hold prominent roles in academia and industry. His grants include NSF and Packard funding for foundational research in robotics and computational methods. He currently teaches CS188: Introduction to Artificial Intelligence. Labs/Teams: Leads research at the Berkeley Institute of Design (BiD), focusing on RISC robotics, activity-based computing, and privacy-enhanced telepresence systems.

Ricardo Gutierrez-OsunaView profile

Professor

• Machine Learning
• Speech Processing
• Digital Health
• +4 more

Ricardo Gutierrez-Osuna is a Professor in the Department of Computer Science and Engineering at Texas A&M University, part of the College of Engineering. He leads the PSI Lab and focuses on machine learning, speech processing, and digital health applications. His research spans topics like wearable sensors, foreign accent conversion, and physiological monitoring. Education: Ph.D. (Computer Engineering, NC State, 1998), M.S. (Computer Engineering, NC State, 1995), B.S. (Electrical Engineering, Universidad Politécnica de Madrid, 1992). Research interests include intelligent sensors, speech processing, machine learning, neuromorphic computation, and mobile robotics. His work bridges computer science and biomedical engineering, with applications in health monitoring and human-computer interaction. Awards: NSF CAREER Award (2002) Ramón y Cajal Award (2005-2010) Texas A&M Barbara and Ralph Cox Fellow (2009) Multiple teaching awards (2009-2010) His lab develops innovative technologies like stress-detecting wearables, biofeedback games, and systems for non-native speech improvement. He collaborates on projects involving voice conversion, glucose prediction algorithms, and multi-modal sensing devices.

• Dynamics of Innovation
• Regulatory Sciences
• Economics of Science and Innovation
• +5 more

Dr. Jarno Hoekman is an Associate Professor in Innovation Studies at the Copernicus Institute of Sustainable Development, Utrecht University. His research focuses on the dynamics and governance of science in the context of innovation, regulation, and societal challenges, with particular emphasis on sustainability and health. He is affiliated with both the Copernicus Institute of Sustainable Development and the Utrecht collaborating Centre for Pharmaceutical Policy & Regulation in the Department of Pharmaceutical Sciences. Dr. Hoekman serves as the programme leader of the research master in Innovation Sciences and teaches academic integrity courses to Master students and PhD candidates. Dr. Hoekman's research is organized around three interconnected themes: Science in transition , examining how scientific practices and institutional arrangements are evolving through open science, interdisciplinary research collaborations, and alternative recognition systems; Regulatory science and innovation , investigating innovations in tools and standards for assessing risks and benefits of new technologies, including safety assessment methods and regulatory authorization standards; and Geography of science , exploring the role of location factors in scientific knowledge production and diffusion. Analysis of Dr. Hoekman's recent publications (2022-2024) reveals a strong interdisciplinary focus spanning pharmacology, toxicology, innovation studies, and science policy. Key research trends include examining conditional marketing authorization pathways, post-approval studies for conditionally authorized medicines, animal-free safety testing methodologies, and the societal impact of transdisciplinary research projects. His work frequently employs mixed-methods approaches and involves multi-stakeholder perspectives to address complex regulatory and innovation challenges. Dr. Hoekman actively contributes to policy-relevant research, including major European Commission studies on pharmaceutical legislation. His collaborative work extends across multiple institutions and involves interdisciplinary teams working on pharmaceutical policy, sustainable innovation, and science-society interactions. As a member of the Utrecht Young Academy and the UU Open Science Platform, he engages with broader academic community initiatives related to research integrity and open science practices.

Megan RennaView profile

Assistant Professor

• Clinical Psychology
• Clinical Health Psychology
• Emotion Regulation
• +6 more

Dr. Megan Renna is an Assistant Professor in Clinical Psychology at the University of Southern Mississippi. She earned her Ph.D. in Clinical Psychology from Columbia University's Teachers College and completed a postdoctoral fellowship funded by the National Cancer Institute at Ohio State University Comprehensive Cancer Center. Her research focuses on the bidirectional relationship between psychological and physical health, particularly how emotion regulation and negative emotionality contribute to chronic disease risk in breast cancer survivors and healthy adults. Education: Ph.D. in Clinical Psychology (2019) and M.Ph. (2018) from Teachers College, Columbia University Training: Predoctoral internship at Duke University Medical Center Her work bridges clinical psychology, psychophysiology, and behavioral medicine through studies on inflammation, autonomic dysfunction, and cancer survivorship. Recent publications examine metabolic syndrome, smartwatch body composition metrics, and couples' health dynamics. Key research themes include stress reactivity, emotion regulation therapy, and biobehavioral pathways linking mental states to physiological outcomes. Dr. Renna teaches Advanced Psychopathology and can be reached at Megan.Renna@usm.edu. Her methodological expertise spans experimental worry inductions, longitudinal studies, and psychometric scale development, with a focus on reducing distress disorders through emotion regulation interventions.